Prediction

Model

lucataco/wan-2.1-1.3b-vid2vid:93497665

3aybzba7k5rmc0cnyynbneaztg

Status

Succeeded

Source

Web

Hardware

L40S

Total duration

2m 14s

Created

9 months ago

Webhook

–

Input

prompt: a puppy wearing black sunglasses
negative_prompt: low quality, blurry, distorted, disfigured, text, watermark
input_video: https://replicate.delivery/pbxt/MbUZEHGJFGoTaCAlbxPCAHvkmQrWOwAWGhb3o6xwdYRtoV7C/replicate-prediction-6jxv92xhadrma0cncbabf652xm.mp4
num_frames: 81
frames_per_second: 16
denoising_strength: 0.7
aspect_ratio: 832x480
num_inference_steps: 30
cfg_scale: 6
tiled: true

{
  "aspect_ratio": "832x480",
  "cfg_scale": 6,
  "denoising_strength": 0.7,
  "frames_per_second": 16,
  "input_video": "https://replicate.delivery/pbxt/MbUZEHGJFGoTaCAlbxPCAHvkmQrWOwAWGhb3o6xwdYRtoV7C/replicate-prediction-6jxv92xhadrma0cncbabf652xm.mp4",
  "negative_prompt": "low quality, blurry, distorted, disfigured, text, watermark",
  "num_frames": 81,
  "num_inference_steps": 30,
  "prompt": "a puppy wearing black sunglasses",
  "tiled": true
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_64U**********************************

This is your API token. Keep it to yourself.

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run lucataco/wan-2.1-1.3b-vid2vid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/wan-2.1-1.3b-vid2vid:9349766527ed95fa6194dcca4cae3d497357e207025beb0b97fb0403420142b8",
  {
    input: {
      aspect_ratio: "832x480",
      cfg_scale: 6,
      denoising_strength: 0.7,
      frames_per_second: 16,
      input_video: "https://replicate.delivery/pbxt/MbUZEHGJFGoTaCAlbxPCAHvkmQrWOwAWGhb3o6xwdYRtoV7C/replicate-prediction-6jxv92xhadrma0cncbabf652xm.mp4",
      negative_prompt: "low quality, blurry, distorted, disfigured, text, watermark",
      num_frames: 81,
      num_inference_steps: 30,
      prompt: "a puppy wearing black sunglasses",
      tiled: true
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_64U**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run lucataco/wan-2.1-1.3b-vid2vid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/wan-2.1-1.3b-vid2vid:9349766527ed95fa6194dcca4cae3d497357e207025beb0b97fb0403420142b8",
    input={
        "aspect_ratio": "832x480",
        "cfg_scale": 6,
        "denoising_strength": 0.7,
        "frames_per_second": 16,
        "input_video": "https://replicate.delivery/pbxt/MbUZEHGJFGoTaCAlbxPCAHvkmQrWOwAWGhb3o6xwdYRtoV7C/replicate-prediction-6jxv92xhadrma0cncbabf652xm.mp4",
        "negative_prompt": "low quality, blurry, distorted, disfigured, text, watermark",
        "num_frames": 81,
        "num_inference_steps": 30,
        "prompt": "a puppy wearing black sunglasses",
        "tiled": True
    }
)

# To access the file URL:
print(output.url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output.read())

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_64U**********************************

This is your API token. Keep it to yourself.

Run lucataco/wan-2.1-1.3b-vid2vid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "lucataco/wan-2.1-1.3b-vid2vid:9349766527ed95fa6194dcca4cae3d497357e207025beb0b97fb0403420142b8",
    "input": {
      "aspect_ratio": "832x480",
      "cfg_scale": 6,
      "denoising_strength": 0.7,
      "frames_per_second": 16,
      "input_video": "https://replicate.delivery/pbxt/MbUZEHGJFGoTaCAlbxPCAHvkmQrWOwAWGhb3o6xwdYRtoV7C/replicate-prediction-6jxv92xhadrma0cncbabf652xm.mp4",
      "negative_prompt": "low quality, blurry, distorted, disfigured, text, watermark",
      "num_frames": 81,
      "num_inference_steps": 30,
      "prompt": "a puppy wearing black sunglasses",
      "tiled": true
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

{
  "id": "3aybzba7k5rmc0cnyynbneaztg",
  "model": "lucataco/wan-2.1-1.3b-vid2vid",
  "version": "9349766527ed95fa6194dcca4cae3d497357e207025beb0b97fb0403420142b8",
  "input": {
    "aspect_ratio": "832x480",
    "cfg_scale": 6,
    "denoising_strength": 0.7,
    "frames_per_second": 16,
    "input_video": "https://replicate.delivery/pbxt/MbUZEHGJFGoTaCAlbxPCAHvkmQrWOwAWGhb3o6xwdYRtoV7C/replicate-prediction-6jxv92xhadrma0cncbabf652xm.mp4",
    "negative_prompt": "low quality, blurry, distorted, disfigured, text, watermark",
    "num_frames": 81,
    "num_inference_steps": 30,
    "prompt": "a puppy wearing black sunglasses",
    "tiled": true
  },
  "logs": "huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\nTo disable this warning, you can either:\n- Avoid using `tokenizers` before the fork if possible\n- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\nVAE encoding:   0%|          | 0/9 [00:00<?, ?it/s]\nVAE encoding:  11%|█         | 1/9 [00:00<00:05,  1.58it/s]\nVAE encoding:  22%|██▏       | 2/9 [00:01<00:04,  1.58it/s]\nVAE encoding:  33%|███▎      | 3/9 [00:01<00:03,  1.58it/s]\nVAE encoding:  44%|████▍     | 4/9 [00:02<00:03,  1.57it/s]\nVAE encoding:  56%|█████▌    | 5/9 [00:03<00:02,  1.57it/s]\nVAE encoding:  67%|██████▋   | 6/9 [00:03<00:01,  1.58it/s]\nVAE encoding:  78%|███████▊  | 7/9 [00:04<00:01,  1.57it/s]\nVAE encoding:  89%|████████▉ | 8/9 [00:05<00:00,  1.57it/s]\nVAE encoding: 100%|██████████| 9/9 [00:05<00:00,  1.57it/s]\nVAE encoding: 100%|██████████| 9/9 [00:05<00:00,  1.57it/s]\n  0%|          | 0/30 [00:00<?, ?it/s]\n  3%|▎         | 1/30 [00:03<01:44,  3.60s/it]\n  7%|▋         | 2/30 [00:07<01:40,  3.60s/it]\n 10%|█         | 3/30 [00:10<01:37,  3.60s/it]\n 13%|█▎        | 4/30 [00:14<01:33,  3.60s/it]\n 17%|█▋        | 5/30 [00:17<01:29,  3.60s/it]\n 20%|██        | 6/30 [00:21<01:26,  3.61s/it]\n 23%|██▎       | 7/30 [00:25<01:22,  3.60s/it]\n 27%|██▋       | 8/30 [00:28<01:19,  3.60s/it]\n 30%|███       | 9/30 [00:32<01:15,  3.60s/it]\n 33%|███▎      | 10/30 [00:36<01:12,  3.60s/it]\n 37%|███▋      | 11/30 [00:39<01:08,  3.61s/it]\n 40%|████      | 12/30 [00:43<01:04,  3.60s/it]\n 43%|████▎     | 13/30 [00:46<01:01,  3.60s/it]\n 47%|████▋     | 14/30 [00:50<00:57,  3.60s/it]\n 50%|█████     | 15/30 [00:54<00:54,  3.60s/it]\n 53%|█████▎    | 16/30 [00:57<00:50,  3.60s/it]\n 57%|█████▋    | 17/30 [01:01<00:46,  3.60s/it]\n 60%|██████    | 18/30 [01:04<00:43,  3.60s/it]\n 63%|██████▎   | 19/30 [01:08<00:39,  3.60s/it]\n 67%|██████▋   | 20/30 [01:12<00:35,  3.60s/it]\n 70%|███████   | 21/30 [01:15<00:32,  3.60s/it]\n 73%|███████▎  | 22/30 [01:19<00:28,  3.61s/it]\n 77%|███████▋  | 23/30 [01:22<00:25,  3.61s/it]\n 80%|████████  | 24/30 [01:26<00:21,  3.61s/it]\n 83%|████████▎ | 25/30 [01:30<00:18,  3.61s/it]\n 87%|████████▋ | 26/30 [01:33<00:14,  3.61s/it]\n 90%|█████████ | 27/30 [01:37<00:10,  3.61s/it]\n 93%|█████████▎| 28/30 [01:40<00:07,  3.61s/it]\n 97%|█████████▋| 29/30 [01:44<00:03,  3.61s/it]\n100%|██████████| 30/30 [01:48<00:00,  3.60s/it]\n100%|██████████| 30/30 [01:48<00:00,  3.60s/it]\nVAE decoding:   0%|          | 0/9 [00:00<?, ?it/s]\nVAE decoding:  11%|█         | 1/9 [00:01<00:08,  1.12s/it]\nVAE decoding:  22%|██▏       | 2/9 [00:02<00:07,  1.11s/it]\nVAE decoding:  33%|███▎      | 3/9 [00:03<00:06,  1.11s/it]\nVAE decoding:  44%|████▍     | 4/9 [00:04<00:05,  1.11s/it]\nVAE decoding:  56%|█████▌    | 5/9 [00:05<00:04,  1.11s/it]\nVAE decoding:  67%|██████▋   | 6/9 [00:06<00:03,  1.11s/it]\nVAE decoding:  78%|███████▊  | 7/9 [00:07<00:02,  1.11s/it]\nVAE decoding:  89%|████████▉ | 8/9 [00:08<00:01,  1.11s/it]\nVAE decoding: 100%|██████████| 9/9 [00:09<00:00,  1.11s/it]\nVAE decoding: 100%|██████████| 9/9 [00:09<00:00,  1.11s/it]\nSaving video:   0%|          | 0/81 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\nTo disable this warning, you can either:\n- Avoid using `tokenizers` before the fork if possible\n- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\nSaving video:   1%|          | 1/81 [00:00<00:23,  3.33it/s]\nSaving video:  89%|████████▉ | 72/81 [00:00<00:00, 230.25it/s]\nSaving video: 100%|██████████| 81/81 [00:00<00:00, 186.99it/s]",
  "output": "https://replicate.delivery/xezq/8pFLomYr6wrQIJOYErDNrnZ5xwqQLiirI1yuB2ZmDSDfbZPKA/tmp_vurc1dr.mp4",
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2025-04-02T18:01:26.681Z",
  "started_at": "2025-04-02T18:01:26.689737Z",
  "completed_at": "2025-04-02T18:03:40.537024Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/3aybzba7k5rmc0cnyynbneaztg/cancel",
    "get": "https://api.replicate.com/v1/predictions/3aybzba7k5rmc0cnyynbneaztg",
    "stream": "https://stream.replicate.com/v1/files/bcwr-fowizvzrn7x5glwymckz5k4gsffnz2kfshm6axaeqkzvqylmvorq",
    "web": "https://replicate.com/p/3aybzba7k5rmc0cnyynbneaztg"
  },
  "metrics": {
    "predict_time": 133.847287778,
    "total_time": 133.856024
  }
}

Generated in

2 minutes 14 seconds

Tweak it Report

huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) VAE encoding: 0%| | 0/9 [00:00<?, ?it/s] VAE encoding: 11%|█ | 1/9 [00:00<00:05, 1.58it/s] VAE encoding: 22%|██▏ | 2/9 [00:01<00:04, 1.58it/s] VAE encoding: 33%|███▎ | 3/9 [00:01<00:03, 1.58it/s] VAE encoding: 44%|████▍ | 4/9 [00:02<00:03, 1.57it/s] VAE encoding: 56%|█████▌ | 5/9 [00:03<00:02, 1.57it/s] VAE encoding: 67%|██████▋ | 6/9 [00:03<00:01, 1.58it/s] VAE encoding: 78%|███████▊ | 7/9 [00:04<00:01, 1.57it/s] VAE encoding: 89%|████████▉ | 8/9 [00:05<00:00, 1.57it/s] VAE encoding: 100%|██████████| 9/9 [00:05<00:00, 1.57it/s] VAE encoding: 100%|██████████| 9/9 [00:05<00:00, 1.57it/s] 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:03<01:44, 3.60s/it] 7%|▋ | 2/30 [00:07<01:40, 3.60s/it] 10%|█ | 3/30 [00:10<01:37, 3.60s/it] 13%|█▎ | 4/30 [00:14<01:33, 3.60s/it] 17%|█▋ | 5/30 [00:17<01:29, 3.60s/it] 20%|██ | 6/30 [00:21<01:26, 3.61s/it] 23%|██▎ | 7/30 [00:25<01:22, 3.60s/it] 27%|██▋ | 8/30 [00:28<01:19, 3.60s/it] 30%|███ | 9/30 [00:32<01:15, 3.60s/it] 33%|███▎ | 10/30 [00:36<01:12, 3.60s/it] 37%|███▋ | 11/30 [00:39<01:08, 3.61s/it] 40%|████ | 12/30 [00:43<01:04, 3.60s/it] 43%|████▎ | 13/30 [00:46<01:01, 3.60s/it] 47%|████▋ | 14/30 [00:50<00:57, 3.60s/it] 50%|█████ | 15/30 [00:54<00:54, 3.60s/it] 53%|█████▎ | 16/30 [00:57<00:50, 3.60s/it] 57%|█████▋ | 17/30 [01:01<00:46, 3.60s/it] 60%|██████ | 18/30 [01:04<00:43, 3.60s/it] 63%|██████▎ | 19/30 [01:08<00:39, 3.60s/it] 67%|██████▋ | 20/30 [01:12<00:35, 3.60s/it] 70%|███████ | 21/30 [01:15<00:32, 3.60s/it] 73%|███████▎ | 22/30 [01:19<00:28, 3.61s/it] 77%|███████▋ | 23/30 [01:22<00:25, 3.61s/it] 80%|████████ | 24/30 [01:26<00:21, 3.61s/it] 83%|████████▎ | 25/30 [01:30<00:18, 3.61s/it] 87%|████████▋ | 26/30 [01:33<00:14, 3.61s/it] 90%|█████████ | 27/30 [01:37<00:10, 3.61s/it] 93%|█████████▎| 28/30 [01:40<00:07, 3.61s/it] 97%|█████████▋| 29/30 [01:44<00:03, 3.61s/it] 100%|██████████| 30/30 [01:48<00:00, 3.60s/it] 100%|██████████| 30/30 [01:48<00:00, 3.60s/it] VAE decoding: 0%| | 0/9 [00:00<?, ?it/s] VAE decoding: 11%|█ | 1/9 [00:01<00:08, 1.12s/it] VAE decoding: 22%|██▏ | 2/9 [00:02<00:07, 1.11s/it] VAE decoding: 33%|███▎ | 3/9 [00:03<00:06, 1.11s/it] VAE decoding: 44%|████▍ | 4/9 [00:04<00:05, 1.11s/it] VAE decoding: 56%|█████▌ | 5/9 [00:05<00:04, 1.11s/it] VAE decoding: 67%|██████▋ | 6/9 [00:06<00:03, 1.11s/it] VAE decoding: 78%|███████▊ | 7/9 [00:07<00:02, 1.11s/it] VAE decoding: 89%|████████▉ | 8/9 [00:08<00:01, 1.11s/it] VAE decoding: 100%|██████████| 9/9 [00:09<00:00, 1.11s/it] VAE decoding: 100%|██████████| 9/9 [00:09<00:00, 1.11s/it] Saving video: 0%| | 0/81 [00:00<?, ?it/s]huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) Saving video: 1%| | 1/81 [00:00<00:23, 3.33it/s] Saving video: 89%|████████▉ | 72/81 [00:00<00:00, 230.25it/s] Saving video: 100%|██████████| 81/81 [00:00<00:00, 186.99it/s]